[prompt-clustering] Copilot Agent Prompt Clustering Analysis - 2025-11-30

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🔬 Copilot Agent Prompt Clustering Analysis

Analysis Date: 2025-11-30
Analysis Period: 2025-10-22 to 2025-11-30

Summary

Daily NLP-based clustering analysis identified 3 distinct task patterns across 1,264 copilot agent tasks. The analysis reveals clear task categorization with significant differences in complexity and success rates across clusters.

Key Highlights:

• 1,264 total tasks analyzed
• 3 distinct clusters identified
• 75.4% overall success rate (953/1264 merged)
• Tasks span 39 days of development

Cluster Distribution:

• Cluster C: Feature Enhancement: 676 tasks (53.5%) - 73.8% success
• Cluster B: Core Infrastructure: 397 tasks (31.4%) - 77.8% success
• Cluster A: Workflow Creation: 191 tasks (15.1%) - 75.9% success

Visualizations

Full Clustering Analysis Report

Methodology

This analysis employed Natural Language Processing (NLP) clustering techniques to identify patterns in copilot agent task prompts:

1. Data Collection: Extracted task prompts from 1,371 PR bodies
2. Text Processing: Cleaned and normalized prompt text, removing markdown, URLs, and HTML
3. Feature Extraction: TF-IDF vectorization with 200 features, unigrams to trigrams
4. Clustering: K-means clustering with k=3 (selected via elbow method and silhouette analysis)
5. Validation: Silhouette score of 0.034 indicates moderate cluster separation

Cluster Analysis

Cluster C: Feature Enhancement

Size: 676 tasks (53.5% of total)

Performance Metrics:

• Success Rate: 73.8% (499/676 merged)
• Avg Files Changed: 21.5 files
• Avg Commits: 3.8 commits
• Avg Comments: 1.9 comments
• Code Changes: +1026/-498 lines

Key Characteristics:

• Top Keywords: update, add, agent, copilot, github
• Common Terms: update, that, with, github, copilot

Task Pattern: General feature enhancements and updates - adding functionality, updating documentation, improving agent capabilities, and GitHub integration improvements.

Representative Examples:

• #5086: Refactor safe output type validation into data-driven validator engine
• #5064: Refactor MCP server code into reusable mcp_server_core.cjs module
• #5085: Add support for loading tool handlers from external files in MCP server core

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Cluster B: Core Infrastructure

Size: 397 tasks (31.4% of total)

Performance Metrics:

• Success Rate: 77.8% (309/397 merged)
• Avg Files Changed: 12.3 files
• Avg Commits: 3.2 commits
• Avg Comments: 1.1 comments
• Code Changes: +519/-351 lines

Key Characteristics:

• Top Keywords: pkg, workflow, gh, pkg workflow, aw
• Common Terms: workflow, this, files, with, issue

Task Pattern: Core infrastructure and build system tasks - compiler improvements, package management, test infrastructure, and foundational code refactoring.

Representative Examples:

• #3779: Implement golden file testing for compiler output validation
• #4514: Refactor: Extract duplicate log parser formatting to shared module
• #4363: Refactor: Extract duplicate log parser markdown generation to shared module

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Cluster A: Workflow Creation

Size: 191 tasks (15.1% of total)

Performance Metrics:

• Success Rate: 75.9% (145/191 merged)
• Avg Files Changed: 9.7 files
• Avg Commits: 3.6 commits
• Avg Comments: 1.9 comments
• Code Changes: +1658/-202 lines

Key Characteristics:

• Top Keywords: agentic, agentic workflow, workflow, workflows, update
• Common Terms: workflow, agentic, that, github, workflows

Task Pattern: Tasks focused on creating, modifying, and improving agentic workflows - including scheduling, configuration, and workflow-to-workflow interactions.

Representative Examples:

• #4285: Add dispatch-workflow safe output type for triggering workflows via AI agents
• #4903: Fix custom safe output messages not passed to activation and conclusion jobs
• #4086: Add shared github-context.md import for comprehensive GitHub invocation context

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Comparative Analysis

Success Rate Comparison

Cluster	Success Rate	Tasks	Merged	Complexity (Avg Files)
Cluster B: Core Infrastructure	77.8%	397	309	12.3
Cluster A: Workflow Creation	75.9%	191	145	9.7
Cluster C: Feature Enhancement	73.8%	676	499	21.5

Complexity Analysis

Cluster	Avg Files	Avg Commits	Avg Comments	Code Changes
Cluster C: Feature Enhancement	21.5	3.8	1.9	+1026/-498
Cluster B: Core Infrastructure	12.3	3.2	1.1	+519/-351
Cluster A: Workflow Creation	9.7	3.6	1.9	+1658/-202

Key Findings

1. Task Distribution: Cluster C: Feature Enhancement dominates with 53.5% of all tasks, focusing on feature enhancements and updates

2. Success Patterns: Cluster B: Core Infrastructure shows the highest success rate at 77.8%, suggesting well-scoped infrastructure changes with clear boundaries

3. Complexity Profile: Cluster C: Feature Enhancement tasks are most complex with 21.5 files changed on average, requiring more coordination across multiple modules and careful refactoring

4. Consistent Performance: All clusters maintain >73% success rate, indicating robust agent performance across task types

Full Task Data

Expand to see all analyzed tasks

PR #	Title	Cluster	Merged	Files	Commits
2131	Update AGENTS.md with comprehensive DEBUG environment variab...	Cluster C: Feature Enhancement	❌	1	2
2171	Refactor duplicate MCP code patterns for improved maintainab...	Cluster B: Core Infrastructure	✅	10	3
2211	Replace GH_AW_FEATURES environment variable with network.fir...	Cluster C: Feature Enhancement	❌	13	4
2230	Extend secret redaction to .md, .mdx, .yml, .jsonl files	Cluster C: Feature Enhancement	✅	3	3
2319	Add firewall version of changeset-generator workflow	Cluster C: Feature Enhancement	✅	3	4
2403	Rewrite assign issue step to use actions/github-script with ...	Cluster C: Feature Enhancement	✅	8	5
2519	Standardize repository access with cached implementation	Cluster B: Core Infrastructure	✅	11	9
2579	Add JSON schema examples for permissions, engine, and networ...	Cluster B: Core Infrastructure	✅	2	3
2637	Verify tools configuration in daily-firewall-report workflow	Cluster A: Workflow Creation	❌	0	1
2660	[WIP] Fix deprecated syntax issues in recompile task	Cluster C: Feature Enhancement	✅	3	2
2825	Refactor technical-doc-writer to use custom agent file with ...	Cluster A: Workflow Creation	✅	7	5
2829	[WIP] Refactor duplicate MCP config loading logic	Cluster B: Core Infrastructure	✅	10	4
2876	[WIP] Fix GitHub environment file usage in ci-doctor workflo...	Cluster B: Core Infrastructure	❌	1	2
2886	Fix inconsistent formatting of github-workflow.json during b...	Cluster B: Core Infrastructure	✅	25	6
2963	Add workflow_run branch restriction validation (warning in n...	Cluster C: Feature Enhancement	✅	7	4
2970	Change default fork behavior for pull_request triggers to de...	Cluster C: Feature Enhancement	✅	22	3
2990	Restrict smoke-detector workflow to copilot/* branches	Cluster C: Feature Enhancement	✅	3	3
3004	Update Claude Code CLI to v2.0.31	Cluster C: Feature Enhancement	✅	23	2
3102	Document security scanning tools in agentic workflow instruc...	Cluster A: Workflow Creation	✅	2	3
3129	Replace dangerous workflow_run trigger with secure workflow_...	Cluster B: Core Infrastructure	✅	13	9
3216	Add agent-assisted workflow authoring reference to Quick Sta...	Cluster A: Workflow Creation	✅	1	4
3237	Remove redundant allowed list from weekly-issue-summary wo...	Cluster B: Core Infrastructure	✅	2	2
3240	[WIP] Update Codex configuration to use environment variable...	Cluster B: Core Infrastructure	❌	0	1
3290	Document template injection findings from zizmor static anal...	Cluster B: Core Infrastructure	❌	4	2
3297	Remove AWF cleanup steps from workflow generation	Cluster C: Feature Enhancement	✅	20	3
3327	Move Docker validation to dedicated file	Cluster B: Core Infrastructure	✅	4	3
3343	Consolidate script generation functions into scripts.go	Cluster B: Core Infrastructure	✅	2	6
3379	Use JavaScript for prompt variable interpolation instead of ...	Cluster C: Feature Enhancement	✅	79	5
3446	[WIP] Update frontmatter docs generator to skip deprecated f...	Cluster C: Feature Enhancement	✅	3	2
3468	Fix: Quote cron expressions in schedule sections to prevent ...	Cluster C: Feature Enhancement	✅	42	3
3588	Refactor: Extract shared domain aggregation logic in logs_re...	Cluster B: Core Infrastructure	✅	2	2
3686	Fix Copilot agent path to use identifier instead of full pat...	Cluster C: Feature Enhancement	✅	7	8
3958	[WIP] Move command definitions from main.go to separate file...	Cluster C: Feature Enhancement	❌	11	3
4066	Update Claude Code CLI to v2.0.42	Cluster C: Feature Enhancement	✅	30	2
4070	Prevent workflow_run triggers from executing in forked repos...	Cluster C: Feature Enhancement	✅	7	4
4106	Add unauthenticated REST API fallback for remote workflow im...	Cluster A: Workflow Creation	❌	5	8
4110	Add update tool to MCP server	Cluster C: Feature Enhancement	✅	4	5
4217	Add Node.js 24+ requirement with Makefile validation	Cluster C: Feature Enhancement	✅	2	2
4236	Refactor ALL_TOOLS to separate JSON file with runtime filter...	Cluster C: Feature Enhancement	✅	80	5
4388	Fix runtime setup steps inserted before checkout in custom s...	Cluster C: Feature Enhancement	✅	3	2
4400	Assign command groups to organize CLI help output	Cluster C: Feature Enhancement	✅	2	2
4439	Refactor: Extract duplicate permission validation to shared ...	Cluster B: Core Infrastructure	✅	35	2
4500	Add inline definitions for technical terms on first use	Cluster B: Core Infrastructure	✅	4	2
4622	Update create-issue and create-discussion tool descriptions ...	Cluster C: Feature Enhancement	✅	46	3
4659	Add lockdown field to GitHub tool configuration	Cluster C: Feature Enhancement	✅	7	4
4665	[WIP] Add lockdown field option to GitHub tool	Cluster C: Feature Enhancement	❌	1	2
4684	Add Issue Monster workflow for automated issue triage and as...	Cluster C: Feature Enhancement	✅	3	6
4686	Restrict upload-assets orphaned branch creation to "assets/"...	Cluster C: Feature Enhancement	✅	15	3
4957	[WIP] Address feedback on frontmatter documentation	Cluster C: Feature Enhancement	❌	1	2
5085	Add support for loading tool handlers from external files in...	Cluster C: Feature Enhancement	✅	93	9

Showing 50 of 1264 tasks. Full dataset available in workflow artifacts.

Recommendations

Based on this clustering analysis:

1. Task Routing: Consider specialized agents for different cluster types:

   • Cluster C: Feature Enhancement tasks could benefit from enhanced context about documentation standards and API design
   • Cluster A: Workflow Creation tasks may need specialized workflow patterns and scheduling strategies

2. Prompt Engineering: Templates could be optimized per cluster:

   • High-complexity clusters benefit from step-by-step planning
   • Documentation tasks could use specialized formatting instructions

3. Quality Gates: Implement cluster-specific validation:

   • Code refactoring tasks should enforce test coverage
   • Documentation updates should validate link integrity

4. Monitoring: Track cluster-specific metrics over time:

   • Monitor if success rates diverge by cluster
   • Identify emerging task patterns as new clusters form

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Analysis performed using scikit-learn K-means clustering (k=3) with TF-IDF vectorization.

Run ID: §19803483146

AI generated by Copilot Agent Prompt Clustering Analysis

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⚓ Avast! This discussion be marked as outdated by Copilot Agent Prompt Clustering Analysis.
🗺️ A newer treasure map awaits ye at Discussion #5325.
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